Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

In contrast with nature scenes, aerial scenes are often composed of many objects crowdedly
distributed on the surface in bird's view, the description of which usually demands more …

Aerial scene classification remains challenging as: 1) the size of key objects in determining
the scene scheme varies greatly and 2) many objects irrelevant to the scene scheme are …

In this paper, a novel local pattern descriptor generated by the proposed local vector pattern
(LVP) in high-order derivative space is presented for use in face recognition. Based on the …

Remote sensing image scene classification is challenging due to the complicated spatial
arrangement and varied object sizes inside a large-scale aerial image. Among the …

Given that facial features contain a wide range of identification information and cannot be
completely represented by a single feature, the fusion of multiple features is particularly …

Electroencephalography signals have very low spatial resolution and electrodes capture
signals that are overlapping each other. To extract the discriminative features and alleviate …

Most DCNN-based FR approaches typically employ grayscale or RGB color images as input
representations of DCNN architectures. However, other effective face representation …

Color texture classification has recently attracted significant attention due to its multiple
applications. The color texture images depend on the texture surface and its albedo, the …

Local descriptors used in face recognition are robust in a sense that these descriptors
perform well in varying pose, illumination, and lighting conditions. The accuracy of these …